... Candor is my free, MIT-licensed Claude Code plugin: twelve work-mode "personas" that make an AI assistant direct, verification-driven, and honest instead of agreeable. A debugging persona that demands a reproduction before guessing. A data persona that reads numbers skeptically. A decision persona willing to say no. Each one is documented, benchmarked with eval scripts, and installable in minutes. I built it because of what I learned running AI workflows on a real business (my mom's Shopify ... ... project below): the failure mode of AI at work is not wrong answers, it is confident agreement. The workflows that shipped 2,861 catalog fixes in one weekend only worked because every call got checked by a human, and Candor

... every possible scenario. Hackers will get into something if they really want to, so at some point you ship with the defences you've got and patch from there. Comment from John Marg(@john_marg): From my experience using Candor Data Platform , I avoid relying on AI-generated code blindly. Every output goes through review, validation, and testing before being used. Having structured workflows and clear visibility into data and logic helps identify potential risks early, especially in areas like ... ... vars in client bundle, TLS fallbacks Claude can't see because it never runs the deployed URL. I run an automated header/SSL scan after every deploy now (separate from code review). Same project, two different failure surfaces - code logic vs

... more familiar for people. State school and institutes formed such an educational experience for most people on the planet. A pivot towards selling any content at all didn't help the startup because there were already many strong competitors there (e.g., Patreon). It was painful because I was counting on the success of this project the most and even, together with my partner, paid two developers who helped us build the product. My financial resources were reset again ... ... about 18 projects over ten years is refreshing, so few founders talk openly about those early, messy attempts. One question: now that you ve arrived at the right problem phase with ProblemHunt, how will you balance founder passion / interest vs

... helps the business and allows us to invest more in business that ultimately helps our customers. Comment from sietse schelpe(@sietse_schelpe): Depending on the market, if you use ai api, I fear they will look for better alternatives, this is also the general problem, people are only open to pay what is for them right. So if you are open for why you increase and also what they get in return, that would work best. Be open and honest ... ... isolated analytics of users, but justifications don't matter. Customers aren't just personas, they're people with intelligence, and trying to actually make too much of a justification can just come off as corporate, cold, and lose the candor